Mastering Mesos

Author: Dipa Dubhashi
Publisher: Packt Publishing Ltd
ISBN: 9781785885372
Release Date: 2016-05-26
Genre: Computers

The ultimate guide to managing, building, and deploying large-scale clusters with Apache Mesos About This Book Master the architecture of Mesos and intelligently distribute your task across clusters of machines Explore a wide range of tools and platforms that Mesos works with This real-world comprehensive and robust tutorial will help you become an expert Who This Book Is For The book aims to serve DevOps engineers and system administrators who are familiar with the basics of managing a Linux system and its tools What You Will Learn Understand the Mesos architecture Manually spin up a Mesos cluster on a distributed infrastructure Deploy a multi-node Mesos cluster using your favorite DevOps See the nuts and bolts of scheduling, service discovery, failure handling, security, monitoring, and debugging in an enterprise-grade, production cluster deployment Use Mesos to deploy big data frameworks, containerized applications, or even custom build your own applications effortlessly In Detail Apache Mesos is open source cluster management software that provides efficient resource isolations and resource sharing distributed applications or frameworks. This book will take you on a journey to enhance your knowledge from amateur to master level, showing you how to improve the efficiency, management, and development of Mesos clusters. The architecture is quite complex and this book will explore the difficulties and complexities of working with Mesos. We begin by introducing Mesos, explaining its architecture and functionality. Next, we provide a comprehensive overview of Mesos features and advanced topics such as high availability, fault tolerance, scaling, and efficiency. Furthermore, you will learn to set up multi-node Mesos clusters on private and public clouds. We will also introduce several Mesos-based scheduling and management frameworks or applications to enable the easy deployment, discovery, load balancing, and failure handling of long-running services. Next, you will find out how a Mesos cluster can be easily set up and monitored using the standard deployment and configuration management tools. This advanced guide will show you how to deploy important big data processing frameworks such as Hadoop, Spark, and Storm on Mesos and big data storage frameworks such as Cassandra, Elasticsearch, and Kafka. Style and approach This advanced guide provides a detailed step-by-step account of deploying a Mesos cluster. It will demystify the concepts behind Mesos.

Mastering Spark with R

Author: Javier Luraschi
Publisher: O'Reilly Media
ISBN: 9781492046349
Release Date: 2019-10-07
Genre: Computers

If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions

Mastering Apache Spark

Author: Mike Frampton
Publisher: Packt Publishing Ltd
ISBN: 9781783987153
Release Date: 2015-09-30
Genre: Computers

Gain expertise in processing and storing data by using advanced techniques with Apache Spark About This Book Explore the integration of Apache Spark with third party applications such as H20, Databricks and Titan Evaluate how Cassandra and Hbase can be used for storage An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities Who This Book Is For If you are a developer with some experience with Spark and want to strengthen your knowledge of how to get around in the world of Spark, then this book is ideal for you. Basic knowledge of Linux, Hadoop and Spark is assumed. Reasonable knowledge of Scala is expected. What You Will Learn Extend the tools available for processing and storage Examine clustering and classification using MLlib Discover Spark stream processing via Flume, HDFS Create a schema in Spark SQL, and learn how a Spark schema can be populated with data Study Spark based graph processing using Spark GraphX Combine Spark with H20 and deep learning and learn why it is useful Evaluate how graph storage works with Apache Spark, Titan, HBase and Cassandra Use Apache Spark in the cloud with Databricks and AWS In Detail Apache Spark is an in-memory cluster based parallel processing system that provides a wide range of functionality like graph processing, machine learning, stream processing and SQL. It operates at unprecedented speeds, is easy to use and offers a rich set of data transformations. This book aims to take your limited knowledge of Spark to the next level by teaching you how to expand Spark functionality. The book commences with an overview of the Spark eco-system. You will learn how to use MLlib to create a fully working neural net for handwriting recognition. You will then discover how stream processing can be tuned for optimal performance and to ensure parallel processing. The book extends to show how to incorporate H20 for machine learning, Titan for graph based storage, Databricks for cloud-based Spark. Intermediate Scala based code examples are provided for Apache Spark module processing in a CentOS Linux and Databricks cloud environment. Style and approach This book is an extensive guide to Apache Spark modules and tools and shows how Spark's functionality can be extended for real-time processing and storage with worked examples.

Mastering Apache Spark 2 x

Author: Romeo Kienzler
Publisher: Packt Publishing Ltd
ISBN: 9781785285226
Release Date: 2017-07-26
Genre: Computers

Advanced analytics on your Big Data with latest Apache Spark 2.x About This Book An advanced guide with a combination of instructions and practical examples to extend the most up-to date Spark functionalities. Extend your data processing capabilities to process huge chunk of data in minimum time using advanced concepts in Spark. Master the art of real-time processing with the help of Apache Spark 2.x Who This Book Is For If you are a developer with some experience with Spark and want to strengthen your knowledge of how to get around in the world of Spark, then this book is ideal for you. Basic knowledge of Linux, Hadoop and Spark is assumed. Reasonable knowledge of Scala is expected. What You Will Learn Examine Advanced Machine Learning and DeepLearning with MLlib, SparkML, SystemML, H2O and DeepLearning4J Study highly optimised unified batch and real-time data processing using SparkSQL and Structured Streaming Evaluate large-scale Graph Processing and Analysis using GraphX and GraphFrames Apply Apache Spark in Elastic deployments using Jupyter and Zeppelin Notebooks, Docker, Kubernetes and the IBM Cloud Understand internal details of cost based optimizers used in Catalyst, SystemML and GraphFrames Learn how specific parameter settings affect overall performance of an Apache Spark cluster Leverage Scala, R and python for your data science projects In Detail Apache Spark is an in-memory cluster-based parallel processing system that provides a wide range of functionalities such as graph processing, machine learning, stream processing, and SQL. This book aims to take your knowledge of Spark to the next level by teaching you how to expand Spark's functionality and implement your data flows and machine/deep learning programs on top of the platform. The book commences with an overview of the Spark ecosystem. It will introduce you to Project Tungsten and Catalyst, two of the major advancements of Apache Spark 2.x. You will understand how memory management and binary processing, cache-aware computation, and code generation are used to speed things up dramatically. The book extends to show how to incorporate H20, SystemML, and Deeplearning4j for machine learning, and Jupyter Notebooks and Kubernetes/Docker for cloud-based Spark. During the course of the book, you will learn about the latest enhancements to Apache Spark 2.x, such as interactive querying of live data and unifying DataFrames and Datasets. You will also learn about the updates on the APIs and how DataFrames and Datasets affect SQL, machine learning, graph processing, and streaming. You will learn to use Spark as a big data operating system, understand how to implement advanced analytics on the new APIs, and explore how easy it is to use Spark in day-to-day tasks. Style and approach This book is an extensive guide to Apache Spark modules and tools and shows how Spark's functionality can be extended for real-time processing and storage with worked examples.

Spark The Definitive Guide

Author: Bill Chambers
Publisher: "O'Reilly Media, Inc."
ISBN: 9781491912294
Release Date: 2018-02-08
Genre: Computers

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasets—Spark’s core APIs—through worked examples Dive into Spark’s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Spark’s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation

Microservices Building Scalable Software

Author: Sourabh Sharma
Publisher: Packt Publishing Ltd
ISBN: 9781787280984
Release Date: 2017-01-30
Genre: Computers

Discover how to easily build and implement scalable microservices from scratch About This Book Build, deploy, and test microservices from scratch with ease Learn how to efficiently build and implement microservices in Spring, and how to use Docker and Mesos to push the boundaries of what you thought possible Master the architecture of Mesos and intelligently distribute your task across clusters of machines Who This Book Is For This course is intended for Java and Spring developers, DevOps engineers, and system administrators who are familiar with microservice architecture and have a good understanding of the core elements and microservice applications but now want to delve into effectively implementing microservices at the enterprise level. What You Will Learn Use a domain-driven approach to design and implement microservices Secure microservices using Spring Security Deploy and test microservices Use Spring Boot to develop microservices Find out how to avoid common pitfalls when developing microservices Familiarize yourself with end-to-end microservices written in Spring Framework and Spring Boot Understand the Mesos architecture Deploy a multi-node Mesos cluster using your favorite DevOps In Detail Microservices are the next big thing in designing scalable, easy-to-maintain applications, making app development easier and providing great flexibility in utilizing various resources optimally. This course is divided into three modules and each module is a mini-course in its own right, helping you enhance your knowledge. Starting off with the first module, you will understand the core concepts and frameworks of microservice architecture. You will then learn how to set up the development environment and configure it before implementing continuous integration to deploy your microservice architecture. You will learn to secure microservices and test them effectively using REST Java clients and other tools. Finally, you will build smaller, lighter, and faster services that can be implemented easily. The second module will help you implement the microservice architecture in Spring Framework, Spring Boot, and Spring Cloud. With the latest specifications of Spring, you'll be able to build modern, Internet-scale Java applications in no time. You'll delve into Spring Boot, Spring Cloud, Docker, Mesos, and Marathon, and understand how to deploy autonomous services without using heavy-weight application servers. By the end, you'll have a good grasp of Spring Framework and how to implement microservices using it. In the last module of this course, you will learn about Apache Mesos, open source, cluster-management software that provides efficient resource isolations and sharing. This advanced module will show you how to deploy important, big data processing frameworks such as Hadoop, Spark, and Storm on Mesos and big data storage frameworks such as Cassandra, Elasticsearch, and Kafka. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Mastering Microservices with Java, Sourabh Sharma Spring Microservices, Rajesh RV Mastering Mesos, Dipa Dubhashi Akhil Das Style and approach This course follows a step-by-step approach that teaches readers to build smaller, lighter, and faster services that can be implemented easily in a production environment.

Building Microservices with Spring

Author: Dinesh Rajput
Publisher: Packt Publishing Ltd
ISBN: 9781789958188
Release Date: 2018-12-21
Genre: Computers

Learn and use the design patterns and best practices in Spring to solve common design problems and build user-friendly microservices Key Features Study the benefits of using the right design pattern in your toolkit Manage your code easily with Spring's dependency injection pattern Explore the features of Docker and Mesos to build successful microservices Book Description Getting Started with Spring Microservices begins with an overview of the Spring Framework 5.0, its design patterns, and its guidelines that enable you to implement responsive microservices at scale. You will learn how to use GoF patterns in application design. You will understand the dependency injection pattern, which is the main principle behind the decoupling process of the Spring Framework and makes it easier to manage your code. Then, you will learn how to use proxy patterns in aspect-oriented programming and remoting. Moving on, you will understand the JDBC template patterns and their use in abstracting database access. After understanding the basics, you will move on to more advanced topics, such as reactive streams and concurrency. Written to the latest specifications of Spring that focuses on Reactive Programming, the Learning Path teaches you how to build modern, internet-scale Java applications in no time. Next, you will understand how Spring Boot is used to deploying serverless autonomous services by removing the need to have a heavyweight application server. You’ll also explore ways to deploy your microservices to Docker and managing them with Mesos. By the end of this Learning Path, you will have the clarity and confidence for implementing microservices using Spring Framework. This Learning Path includes content from the following Packt products: Spring 5 Microservices by Rajesh R V Spring 5 Design Patterns by Dinesh Rajput What you will learn Develop applications using dependency injection patterns Build web applications using traditional Spring MVC patterns Utilize the reactive programming pattern to build reactive web apps Learn concurrency and handle multiple connections inside a web server Use Spring Boot and Spring Cloud to develop microservices Leverage reactive programming to build cloud-native applications Who this book is for Getting Started with Spring Microservices is ideal for Spring developers who want to use design patterns to solve common design problems and build cloud-ready, Internet-scale applications, and simple RESTful services.

Spring 5 End To End Programming

Author: Claudio Eduardo de Oliveira
Publisher: Packt Publishing Ltd
ISBN: 9781789956009
Release Date: 2018-12-21
Genre: Computers

Leverage the rich and mature Spring 5 Framework to quickly build and deploy production-ready microservices within the Java and JVM ecosystem Key Features Explore the Spring Framework by building three real-world projects Master efficient application development with proxy and singleton patterns Use Docker and Apache Mesos to build successful microservices Book Description When it comes to developing applications for the web or enterprises, the Spring Framework has become one of the most popular choices among Java developers. With an array of tools and features, Spring offers developers experience that is rivaled by none. Spring 5: End-to-End Programming is all about leveraging these features and developing your own business applications with hands-on examples. You will create applications of increasing complexity, such as a CMS app, a messaging app, and a real-world microservice. While developing these applications, you will learn about Project Reactor in Spring, Spring Webflux, Spring Data, and Angular. You will also develop these applications using standard design patterns in Spring, helping you to solve common design problems with ease. By the end of this Learning Path, you will be well equipped to develop enterprise applications on the web using Spring 5. This Learning Path includes content from the following Packt products: Spring 5.0 By Example by Claudio Eduardo de Oliveira Spring 5 Design Patterns by Dinesh Rajput Spring 5.0 Microservices by Rajesh R V What you will learn Implement REST APIs with Spring REST support Introduce Reactive Programming and use this with Spring Webflux Develop applications using dependency injection patterns Learn best practices to design enterprise applications Build web applications using traditional Spring MVC patterns Implement caching to improve application performance Handle logging and monitoring microservices Manage internet-scale microservices using Docker, Mesos, and Marathon Who this book is for If you're a developer starting out with Spring, then this learning path will help you understand new Spring 5.0 framework concepts followed by their implementation in Java and Kotlin. If you are an experienced Spring developer, then this Learning Path will enable you to gain insight into the new Spring 5.0 features.

Deployment with Docker

Author: Srdjan Grubor
Publisher: Packt Publishing Ltd
ISBN: 9781786463227
Release Date: 2017-11-22
Genre: Computers

A practical guide to rapidly and efficiently mastering Docker containers, along with tips and tricks learned in the field. About This Book Use Docker containers, horizontal node scaling, modern orchestration tools (Docker Swarm, Kubernetes, and Mesos) and Continuous Integration/Continuous Delivery to manage your infrastructure. Increase service density by turning often-idle machines into hosts for numerous Docker services. Learn what it takes to build a true container infrastructure that is scalable, reliable, and resilient in the face of increased complexities from using container infrastructures. Find out how to identify, debug, and mitigate most real-world, undocumented issues when deploying your own Docker infrastructure. Learn tips and tricks of the trade from existing Docker infrastructures running in production environments. Who This Book Is For This book is aimed at system administrators, developers, DevOps engineers, and software engineers who want to get concrete, hands-on experience deploying multi-tier web applications and containerized microservices using Docker. This book is also for anyone who has worked on deploying services in some fashion and wants to take their small-scale setups to the next level (or simply to learn more about the process). What You Will Learn Set up a working development environment and create a simple web service to demonstrate the basics Learn how to make your service more usable by adding a database and an app server to process logic Add resilience to your services by learning how to horizontally scale with a few containers on a single node Master layering isolation and messaging to simplify and harden the connectivity between containers Learn about numerous issues encountered at scale and their workarounds, from the kernel up to code versioning Automate the most important parts of your infrastructure with continuous integration In Detail Deploying Docker into production is considered to be one of the major pain points in developing large-scale infrastructures, and the documentation available online leaves a lot to be desired. With this book, you will learn everything you wanted to know to effectively scale your deployments globally and build a resilient, scalable, and containerized cloud platform for your own use. The book starts by introducing you to the containerization ecosystem with some concrete and easy-to-digest examples; after that, you will delve into examples of launching multiple instances of the same container. From there, you will cover orchestration, multi-node setups, volumes, and almost every relevant component of this new approach to deploying services. Using intertwined approaches, the book will cover battle-tested tooling, or issues likely to be encountered in real-world scenarios, in detail. You will also learn about the other supporting components required for a true PaaS deployment and discover common options to tie the whole infrastructure together. At the end of the book, you learn to build a small, but functional, PaaS (to appreciate the power of the containerized service approach) and continue to explore real-world approaches to implementing even larger global-scale services. Style and approach This in-depth learning guide shows you how to deploy your applications in production using Docker (from the basic steps to advanced concepts) and how to overcome challenges in Docker-based infrastructures. The book also covers practical use-cases in real-world examples, and provides tips and tricks on the various topics.

Oceans 92

Author:
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN: 0780308395
Release Date: 1992
Genre: Ocean engineering

Spring 5 End To End Programming

Author: Claudio Eduardo de Oliveira
Publisher:
ISBN: 1789959667
Release Date: 2018-12-19
Genre: Computers

Leverage the rich and mature Spring 5 Framework to quickly build and deploy production-ready microservices within the Java and JVM ecosystem Key Features Explore the Spring Framework by building three real-world projects Master efficient application development with proxy and singleton patterns Use Docker and Apache Mesos to build successful microservices Book Description When it comes to developing applications for the web or enterprises, the Spring Framework has become one of the most popular choices among Java developers. With an array of tools and features, Spring offers developers experience that is rivaled by none. Spring 5: End-to-End Programming is all about leveraging these features and developing your own business applications with hands-on examples. You will create applications of increasing complexity, such as a CMS app, a messaging app, and a real-world microservice. While developing these applications, you will learn about Project Reactor in Spring, Spring Webflux, Spring Data, and Angular. You will also develop these applications using standard design patterns in Spring, helping you to solve common design problems with ease. By the end of this Learning Path, you will be well equipped to develop enterprise applications on the web using Spring 5. This Learning Path includes content from the following Packt products: Spring 5.0 By Example by Claudio Eduardo de Oliveira Spring 5 Design Patterns by Dinesh Rajput Spring 5.0 Microservices by Rajesh R V What you will learn Implement REST APIs with Spring REST support Introduce Reactive Programming and use this with Spring Webflux Develop applications using dependency injection patterns Learn best practices to design enterprise applications Build web applications using traditional Spring MVC patterns Implement caching to improve application performance Handle logging and monitoring microservices Manage internet-scale microservices using Docker, Mesos, and Marathon Who this book is for If you're a developer starting out with Spring, then this learning path will help you understand new Spring 5.0 framework concepts followed by their implementation in Java and Kotlin. If you are an experienced Spring developer, then this Learning Path will enable you to gain insight into the new Spring 5.0 features.

Learning Apache Cassandra Second Edition

Author: Sandeep Yarabarla
Publisher:
ISBN: 178712729X
Release Date: 2017-03-31
Genre:

Build a scalable, fault-tolerant and highly available data layer for your applications using Apache CassandraAbout This Book* Install Cassandra and use it to set up multi-node clusters* Design rich schemas that capture the relationships between different data types* Master the advanced features available in Cassandra 3.x through a step-by-step tutorial and build a scalable, high performance database layerWho This Book Is ForIf you are a first-time user of Apache Cassandra who wants to learn the basic of it, as well as some not-so-basic features, this book is for you. It does not assume any prior experience in coding or any framework.What you will learn* Install Cassandra and create your first keyspace* Create tables with multiple clustering columns to organize related data* Use secondary indexes and materialized views to avoid denormalization of data* Effortlessly handle concurrent updates with collection columns* Ensure data integrity with lightweight transactions and logged batches* Understand eventual consistency and use the right consistency level for your situation* Understand data distribution with Cassandra and get to know ways to implement application-level optimizationsIn DetailCassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while still providing the high availability and scalability of a distributed store. This book will introduce you to the rich features offered by Cassandra, and empower you to create and manage a highly performant, fault-tolerant database layer.The book starts by explaining the new features implemented in Cassandra 3.x, you'll see how to install Cassandra, and you'll understand Lightweight Transactions. Next you'll learn to create tables with composite partition keys, and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and data distribution in Cassandra. Finally, you will set up a multi node cluster and implement application-level optimization using a Java client.By the end of this book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications.